Human-Centered AI and Machine Learning for E-Collaboration

Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, and more

Jingyuan Zhao obtained her PhD in Management Science and Engineering from University of Science and Technology of China. She completed four postdoctoral programs respectively in Mathematical and Computational Science with University of Toronto Mississauga, in Innovation and Governance with University of Toronto, in Management of Technology with Université du Québec à Montréal, and in Technological Economics with Harbin Institute of Technology. Dr. Zhao's research expertise includes management of technology innovation, innovation and entrepreneurship, behaviour and information technology, human-computer interaction, and science and technology policy. She has teaching experience of 15 years at the graduate and undergraduate level. Research portfolio includes peer-reviewed articles in highly regarded journals, authored books, multiple book chapters, and conference presentations. Dr. Zhao also has extensive industry experience and provides consulting services to major corporations, such as China Mobile. She serves as editor-in-chief of International Journal of e-Collaboration (IJeC).

V. Vinoth Kumar is an Associate Professor in the Department of Computer Science and Engineering in MVJ College of Engineering, Bangalore, India. He is a highly qualified individual with around 8 years of rich expertise in teaching, entrepreneurship, and research and development with specialization in computer science engineering subjects. He has been a part of various seminars, paper presentations, research paper reviews, and conferences as a convener and a session chair, a guest editor in journals and has co-authored several books and papers in national, international journals and conferences. He is a professional society member for ISTE, IACIST and IAENG. He has published more than 15 articles in National and International journals, 10 articles in conference proceedings and one article in book chapter. He has filed Indian patent in IoT Applications. His Research interest includes Mobile Adhoc Networking and IoT.

Joseph Richards joined the marketing faculty at CSUS in 2001. He holds a doctorate in Marketing with further specialization in Econometrics from Syracuse University. He is an active researcher in the fields of Internet related aspects of consumer behavior, marketing strategy, marketing analytics, and statistical and quantitative marketing models. Recent research and focus is in big data analytics. His publications have appeared in many leading journals.